Or that they can become so powerful that they can run locally for 8+ hours without any human supervision.
AUTOMATION
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Complete Roadmap to Master Agentic AI Development
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Roadmap to learn Agentic AI AI fundamentals
Python + frameworks
LLMs
Agents architecture
Memory + RAG
Planning & decision-making
RL & self-improvement
Deployment
Real-world automation
Agentic AI = full-stack intelligence.
Credit: Tiksly
#AgenticAI #LLM #RAG #A -
Google Launches Retail Business Agent with Flash-Lite Model
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Second, using 3.1 Flash-Lite in @GoogleAIStudio, we built a retail business agent that plans and executes multi-step tasks for you like reporting and dashboard automation – saving you time to focus on the things that matter most.
— Google AI (@GoogleAI) 3 mars 2026
Beginning today, the model is rolling out in… pic.twitter.com/XOyQ6nGZROSecond, using 3.1 Flash-Lite in @GoogleAIStudio
, we built a retail business agent that plans and executes multi-step tasks for you like reporting and dashboard automation – saving you time to focus on the things that matter most. Beginning today, the model is rolling out in -
AI builds websites instantly, empowering everyday users with agentic apps.
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True, but wait until they can tell an AI to do something, like build them a new website, and it does in front of them. That's why I love @wabi so much. It's approachable for everyday people, but it builds highly useful agentic applications automatically.
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MLOps Stack and AI Agents: Critical System Design Considerations
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Very much succinct write up on each tech stack! 1) MLOps: very much important to note done tools you are gonna use and their tradeoffs. system design is critical to know where you are gonna fit AI or not. everything is AI first now a days. 2) Agents: Most of the critical tool
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How to Monitor AI Agent Outputs: Best Practices
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How do you monitor agents outputs? What do you recommend?
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Agentic AI Transforming Retail and Customer Shopping Experience
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Agentic AI in Retail: How Autonomous Shopping Is Redefining the Customer Journey #AI #AIio #AIInnovation #ML #DataScience #Futureofwork @Scobleizer @AndrewYNg @drfeifei @KirkDBorne @fchollet @rowancheung @antgrasso ow.ly/Zm0y30sTyEM
→ View original post on X — @terence_mills, 2026-03-03 19:00 UTC
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Agentic AI Periodic Table: From LLM to Autonomous Systems
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Agentic AI now has its own “Periodic Table” From: LLM, RAG, RL
to PLAN, MAS, LTM
to SAFE, HUMAN oversight
to HR, MKT, LEGAL use cases
Autonomous AI = memory + planning + tools + safety + collaboration.
It’s a system, not a prompt.
Credit: Prem Natarajan
#AgenticAI #AIStack -
AI System Indexes Code and Analyzes Log Severity
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It has your entire code base indexed, there's a step that does an assessment on the severity of the logs, and before that, clusters similar logs/alerts into unique ones.
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AI Agents Benchmarks Don’t Match Real Human Work
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AI agents are tackling more and more "human work" But are they benchmarked on the work people actually do? tl;dr: Not really Most benchmarks focus on math & coding, while most human labor and capital lie elsewhere. 📒 We built a database linking agent benchmarks & real-world work Submit new tasks + agent trajectories today 🧵